Access Wikipedia's vast knowledge base through a simple, consistent API. No more wrestling with MediaWiki markup or building custom parsers.
- Perfect for grounding LLM responses with reliable, citation-ready content.
- Ideal for evaluation harnesses that need consistent, trustworthy data.
- Clean JSON means less time parsing, more time building.
API Endpoints
API URL: https://alpha.projectdatax.com
Fetch article by URL
Pass any Wikipedia article URL and get back clean, structured JSON with the article content, metadata, and sections.
Response Fields
curl "https://alpha.projectdatax.com/https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FMachine_learning"
Take it for a spin
Ready to explore
Enter a Wikipedia URL or article title above and click “Fetch article” to see the API in action.
Rate limits
Everyone gets a key to the building. Upgrade for a bigger mailbox.
| Account | Daily requests | Notes |
|---|---|---|
| Anonymous | 50/day | No signup needed |
| Free | 1,000/day | Just verify your email |
| Developer | Custom | Premium access included |
| Scale | Custom | Dedicated support |
Ideas to get you started
Ground your chatbot
Give your LLM reliable facts to cite. Feed Wikipedia summaries into your RAG pipeline for responses users can trust.
Build evaluation sets
Create consistent test datasets from known-good content. Track quality with trustable baselines.
Enrich your knowledge graph
Pull structured Wikipedia data into your graph without writing scrapers. Normalize once, query forever.